Wed 15 Jun 2016 13:30 - 14:00 at Grand Ballroom San Rafael - Energy & Performance Chair(s): Manuel Hermenegildo

Caches are used to significantly improve performance. Even with high degrees of set-associativity, the number of accessed data elements mapping to the same set in a cache can easily exceed the degree of associativity, causing conflict misses and lowered performance, even if the working set is much smaller than cache capacity. Array padding (increasing the size of array dimensions) is a well known optimization technique that can reduce conflict misses. In this paper, we develop the first algorithms for optimal padding of arrays for a set associative cache for arbitrary tile sizes, In addition, we develop the first solution to padding for nested tiles and multi-level caches. The techniques are implemented in PAdvisor tool. Experimental results with multiple benchmarks demonstrate significant performance improvement from use of PAdvisor for padding.

Wed 15 Jun
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13:30 - 15:00: Research Papers - Energy & Performance at Grand Ballroom San Rafael
Chair(s): Manuel HermenegildoIMDEA Software Institute and T.U. of Madrid (UPM)
pldi-2016-papers13:30 - 14:00
Changwan Hong, Wenlei Bao, Albert CohenINRIA, Sriram KrishnamoorthyPacific Northwest National Laboratories, Louis-Noël PouchetOhio State University, J. RamanujamLouisiana State University, Fabrice RastelloINRIA, France, P. SadayappanOhio State University
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pldi-2016-papers14:00 - 14:30
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pldi-2016-papers14:30 - 15:00
Michael A. LaurenzanoUniversity of Michigan, Parker Hill, Mehrzad SamadiUniversity of Michigan, Scott MahlkeUniversity of Michigan, Jason MarsUniversity of Michigan, Lingjia TangUniversity of Michigan
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